Yakir Reshef

1stnamelastinitial at mit.edu

I am an MD/PhD student at Harvard Medical School and the Massachusetts Institute of Technology.

In 2018, I completed a PhD in computer science at Harvard University, advised by Ryan Adams and Michael Mitzenmacher and working on problems in statistics, machine learning, and statistical genetics. My PhD work was supported by the PD Soros foundation and the National Defense Science and Engineering Graduate (NDSEG) fellowship

In 2011, I was a Fulbright scholar in the Department of Applied Math and Computer Science at the Weizmann Institute of Science.

In 2009, I graduated from Harvard College with a BA in mathematics. I wrote my undergraduate thesis with Salil Vadhan.

Selected publications (full list on Google Scholar)

Y Reshef*, D Reshef*, P Sabeti**, M Mitzenmacher**
(* co-first authors; ** co-last authors)
Equitability, interval estimation, and statistical power
Statistical Science (in press)
[arXiv] [bibtex]

Y Reshef, H Finucane, D Kelley, A Gusev, D Kotliar, J Ulirsch, F Hormozdiari, J Nasser, L OConnor, B van de Geijn, P Loh, S Grossman, G Bhatia, S Gazal, P Francesco Palamara, L Pinello, N Patterson, R Adams, A Price
Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk
Nature Genetics 2018
[abstract] [pdf] [biorXiv]

D. Kelley, Y Reshef, M Bileschi, D Belanger, C McLean, J Snoek
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
Genome Research 2018
[abstract] [pdf] [bibtex]

H Finucane, Y Reshef, V Anttila, K Slowikowski, A Gusev, A Byrnes, S Gazal, P Loh, C Lareau, N Shoresh, G Genovese, A Saunders, E Macosko, S Pollack, The Brainstorm Consortium, J Perry, J Buenrostro, B Bernstein, S Raychaudhuri, S McCarroll, B Neale, A Price
Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types
Nature Genetics 2018
[abstract] [bioRxiv] [bibtex]

D Reshef*, Y Reshef*, P Sabeti**, M Mitzenmacher**
(* co-first authors; ** co-last authors)
An empirical study of the maximal and total information coefficients and leading measures of dependence
Annals of Applied Statistics 2018
[abstract] [arXiv] [bibtex]

Y Reshef*, D Reshef*, H Finucane, P Sabeti**, M Mitzenmacher**
(* co-first authors; ** co-last authors)
Measuring dependence powerfully and equitably
Journal of Machine Learning Research 2016
[abstract] [pdf] [bibtex]

[D Reshef, Y Reshef], [M Mitzenmacher, P Sabeti]
([...] equal contribution, listed alphabetically)
Comment on "Equitability, Mutual Information, and the Maximal Information Coefficient"
PNAS 2014
[abstract] [pdf] [bibtex]

Y Reshef, S Vadhan
On Extractors and Exposure-Resilient Functions for Sublogarithmic Entropy
Random Structures and Algorithms 2012
[abstract] [arXiv] [bibtex]

B Kirkpatrick, Y Reshef, H Finucane, H Jiang, B Zhu, R Karp
Comparing Pedigree Graphs
Journal of Computational Biology 2012.
[abstract] [arXiv] [bibtex]

[D Reshef, Y Reshef], H Finucane, S Grossman, G McVean, P Turnbaugh, E Lander, [M Mitzenmacher, P Sabeti]
([...] equal contribution, listed alphabetically)
Detecting Novel Associations in Large Datasets
Science 2011.
[abstract] [bibtex] [paper website] [accompanying Science perspective] [FAQ]

Y Reshef
On Resilient and Exposure-Resilient Functions
My undergraduate thesis (2009), advised by Salil Vadhan.
[pdf] [bibtex]